Category Archives: Uncategorized

Applied Statisticians: people want to learn what we do. Let's teach them.

In this recent opinion piece, Hadley Wickham explains how data science goes beyond Statistics and that data science is not promoted in academia. He defines data science as follows: I think there are three main steps in a data science … Continue reading

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A non-comprehensive list of awesome female data people on Twitter

I was just talking to a student who mentioned she didn't know Jenny Bryan was on Twitter. She is and she is an awesome person to follow. I also realized that I hadn't seen a good list of women on Twitter … Continue reading

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Why the three biggest positive contributions to reproducible research are the iPython Notebook, knitr, and Galaxy

There is a huge amount of interest in reproducible research and replication of results. Part of this is driven by some of the pretty major mistakes in reproducibility we have seen in economics and genomics. This has spurred discussion at a variety … Continue reading

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A (very) brief review of published human subjects research conducted with social media companies

As I wrote the other day, more and more human subjects research is being performed by large tech companies. The best way to handle the ethical issues raised by this research is still unclear. The first step is to get some … Continue reading

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SwiftKey and Johns Hopkins partner for Data Science Specialization Capstone

I use SwiftKey on my Android phone all the time. So I was super pumped up when they agreed to partner with us on the first Capstone course for the Johns Hopkins Data Science  Specialization to run in October 2014. To enroll … Continue reading

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Interview with COPSS Award winner Martin Wainwright

Editor's note: Martin Wainwright is the winner of the 2014 COPSS Award. This award is the most prestigious award in statistics, sometimes refereed to as the Nobel Prize in Statistics. Martin received the award for: " For fundamental and groundbreaking contributions to … Continue reading

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Crowdsourcing resources for the Johns Hopkins Data Science Specialization

Since we began offering the Johns Hopkins Data Science Specialization we've noticed the unbelievable passion that our students have about our courses and the generosity they show toward each other on the course forums. Many students have created quality content around the subjects … Continue reading

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swirl and the little data scientist's predicament

Editor's note: This is a repost of "R and the little data scientist's predicament". A brief idea for an update is presented at the end in italics.  I just read this fascinating post on _why, apparently a bit of a cult hero … Continue reading

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The Leek group guide to giving talks

I wrote a little guide to giving talks that goes along with my data sharing , R packages, and reviewing guides. I posted it to Github and would be really happy to take any feedback/pull requests that folks might have. If … Continue reading

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Stop saying "Scientists discover..." instead say, "Prof. Doe's team discovers..."

I was just reading an article about data science in the WSJ. They were talking about how data scientists with just 2 years experience can earn a whole boatload of money*. I noticed a description that seemed very familiar: At … Continue reading

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